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对单细胞染色质可访问性和转录基因组的联合分析的评估和应用

Hongfei Li^1,2, Jiechen Wang^1,2, Qing Liu³

¹Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, No. 1 Chengdian Road, Kecheng District, Quzhou 324003, China.

Briefings in bioinformatics

|December 12, 2025

概括

本综述涵盖了单细胞染色体可访问性 (CA) 和转录组学的联合分析技术. 这些方法增强了细胞异质性分析和基因调控网络建设,用于发育生物学研究.

科学领域:

分子生物学分子生物学
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

单细胞联合分析结合了染色质可访问性 (CA) 和转录组测序.
这些技术从基因和调节元件的角度提供了对细胞异质性的洞察.
它们对于构建基因调节网络和绘制细胞发育轨迹至关重要.

研究的目的:

审查现有的单细胞联合分析方法,用于CA和转录组学.
系统地评估RNA和ATAC模式的数据质量.
检查生物信息学工具,并讨论未来的前景.

主要方法:

总结单细胞联合分析的分析技术.
通过检测到的基因中位数 (RNA) 和每个细胞可访问的峰值 (ATAC) 来评估数据质量.
审查生物信息学工具用于omics研究.

主要成果:

联合剖析在细胞分辨率上推进了分子生物学.
该审查提供了对数据质量指标的系统评估.
突出了生物信息学工具在各种OMIC环境中的应用.

结论:

联合分析技术对于细胞异质性分析具有强大作用.
讨论了未来的改进和计算工具的可扩展性.
探索了与其他omics数据共同测试的潜力.

关键词:

这些是cis-regulatory元素.生物信息学工具生物信息学工具染色质可访问性染色质可访问性共同分析的个人资料.一个单细胞测序.翻译学翻译学翻译学翻译学

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